• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Infrared Spectroscopy in Gynecological Oncology: A Comprehensive Review of Diagnostic Potentials and Challenges.妇科肿瘤学中的红外光谱学:诊断潜力与挑战的综合综述。
Int J Mol Sci. 2024 May 30;25(11):5996. doi: 10.3390/ijms25115996.
2
Infrared Spectroscopy: A New Frontier in Hematological Disease Diagnosis.红外光谱学:血液病诊断的新前沿。
Int J Mol Sci. 2023 Nov 30;24(23):17007. doi: 10.3390/ijms242317007.
3
Fourier Transform Infrared Spectroscopy in Oral Cancer Diagnosis.傅里叶变换红外光谱技术在口腔癌诊断中的应用。
Int J Mol Sci. 2021 Jan 26;22(3):1206. doi: 10.3390/ijms22031206.
4
Vibrational spectroscopy for molecular characterisation and diagnosis of benign, premalignant and malignant skin tumours.用于良性、癌前和恶性皮肤肿瘤分子特征分析与诊断的振动光谱学
Biotechnol Annu Rev. 2005;11:191-225. doi: 10.1016/S1387-2656(05)11006-0.
5
Infrared Spectroscopy for Rapid Triage of Cancer Using Blood Derivatives: A Reality Check.利用血液衍生物进行快速癌症分诊的红外光谱:现实情况检查。
Anal Chem. 2024 Jan 23;96(3):957-965. doi: 10.1021/acs.analchem.3c02590. Epub 2024 Jan 2.
6
Applications of FT-IR spectrophotometry in cancer diagnostics.傅里叶变换红外光谱技术在癌症诊断中的应用。
Crit Rev Anal Chem. 2015;45(2):156-65. doi: 10.1080/10408347.2014.904733.
7
Can Fourier transform infrared spectroscopy at higher wavenumbers (mid IR) shed light on biomarkers for carcinogenesis in tissues?更高波数(中红外)的傅里叶变换红外光谱能否揭示组织中致癌作用的生物标志物?
J Biomed Opt. 2005 Sep-Oct;10(5):054017. doi: 10.1117/1.2080368.
8
Infrared Spectroscopy as a Potential Diagnostic Tool for Medulloblastoma.红外光谱分析在髓母细胞瘤诊断中的应用潜力。
Molecules. 2023 Mar 5;28(5):2390. doi: 10.3390/molecules28052390.
9
Mid-infrared Fourier transform spectroscopy with a broadband frequency comb.具有宽带频率梳的中红外傅里叶变换光谱学。
Opt Express. 2010 Oct 11;18(21):21861-72. doi: 10.1364/OE.18.021861.
10
Comprehensive evaluation of wild Cordyceps cicadae from different geographical origins by TOPSIS method based on the macroscopic infrared spectroscopy (IR) fingerprint.基于宏观红外光谱(IR)指纹的 TOPSIS 法对不同地理来源野生蝉花的综合评价。
Spectrochim Acta A Mol Biomol Spectrosc. 2019 May 5;214:252-260. doi: 10.1016/j.saa.2019.02.031. Epub 2019 Feb 13.

引用本文的文献

1
Non-invasive diagnosis of endometrioma through cervical swabs using Fourier transform infrared spectroscopy.通过傅里叶变换红外光谱法利用宫颈拭子对子宫内膜瘤进行无创诊断。
Turk J Obstet Gynecol. 2025 Sep 5;22(3):186-193. doi: 10.4274/tjod.galenos.2025.26980. Epub 2025 Sep 2.
2
Application of Fourier transform infrared spectroscopy to exhaled breath analysis for detecting helicobacter pylori infection.傅里叶变换红外光谱在呼出气分析中用于检测幽门螺杆菌感染的应用。
Sci Rep. 2024 Dec 28;14(1):31542. doi: 10.1038/s41598-024-83360-0.

本文引用的文献

1
Metabolic reprogramming and interventions in endometrial carcinoma.子宫内膜癌中的代谢重编程与干预措施
Biomed Pharmacother. 2023 May;161:114526. doi: 10.1016/j.biopha.2023.114526. Epub 2023 Mar 16.
2
Potential Role of Fourier Transform Infrared Spectroscopy as a Screening Approach for Breast Cancer.傅里叶变换红外光谱法在乳腺癌筛查中的潜在作用。
Appl Spectrosc. 2023 Apr;77(4):405-417. doi: 10.1177/00037028231156194. Epub 2023 Mar 9.
3
Fourier Transform Infrared Spectroscopy in the Study of Discrimination of Lobular Breast Cancers.傅里叶变换红外光谱法在小叶型乳腺癌鉴别研究中的应用
Cancer Diagn Progn. 2022 Nov 3;2(6):750-757. doi: 10.21873/cdp.10170. eCollection 2022 Nov-Dec.
4
Infrared Spectroscopy of Urine for the Non-Invasive Detection of Endometrial Cancer.用于子宫内膜癌无创检测的尿液红外光谱分析
Cancers (Basel). 2022 Oct 13;14(20):5015. doi: 10.3390/cancers14205015.
5
Diagnostic Efficiency of Serum-Based Infrared Spectroscopy in Detecting Breast Cancer: A Meta-Analysis.基于血清的红外光谱技术在乳腺癌检测中的诊断效能:一项Meta分析
Lab Med. 2023 Jan 5;54(1):98-105. doi: 10.1093/labmed/lmac068.
6
Infrared micro-spectroscopy coupled with multivariate and machine learning techniques for cancer classification in tissue: a comparison of classification method, performance, and pre-processing technique.用于组织中癌症分类的红外显微光谱结合多元和机器学习技术:分类方法、性能及预处理技术的比较
Analyst. 2022 Aug 8;147(16):3709-3722. doi: 10.1039/d2an00775d.
7
Targeting the PI3K/AKT/mTOR pathway in epithelial ovarian cancer, therapeutic treatment options for platinum-resistant ovarian cancer.靶向上皮性卵巢癌中的PI3K/AKT/mTOR信号通路,铂耐药卵巢癌的治疗选择
Cancer Drug Resist. 2021 Apr 14;4(3):573-595. doi: 10.20517/cdr.2021.05. eCollection 2021.
8
Noncoding RNAs in the Glycolysis of Ovarian Cancer.非编码RNA在卵巢癌糖酵解中的作用
Front Pharmacol. 2022 Mar 30;13:855488. doi: 10.3389/fphar.2022.855488. eCollection 2022.
9
Mid-infrared spectral classification of endometrial cancer compared to benign controls in serum or plasma samples.血清或血浆样本中子宫内膜癌与良性对照的中红外光谱分类。
Analyst. 2021 Sep 13;146(18):5631-5642. doi: 10.1039/d1an00833a.
10
Spectroscopic evaluation of carcinogenesis in endometrial cancer.光谱学评估子宫内膜癌的癌变。
Sci Rep. 2021 Apr 27;11(1):9079. doi: 10.1038/s41598-021-88640-7.

妇科肿瘤学中的红外光谱学:诊断潜力与挑战的综合综述。

Infrared Spectroscopy in Gynecological Oncology: A Comprehensive Review of Diagnostic Potentials and Challenges.

机构信息

Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium.

Department of Clinical Biology, Ghent University Hospital, 9000 Ghent, Belgium.

出版信息

Int J Mol Sci. 2024 May 30;25(11):5996. doi: 10.3390/ijms25115996.

DOI:10.3390/ijms25115996
PMID:38892184
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11172863/
Abstract

The early detection of gynecological cancers, which is critical for improving patient survival rates, is challenging because of the vague early symptoms and the diagnostic limitations of current approaches. This comprehensive review delves into the game-changing potential of infrared (IR) spectroscopy, a noninvasive technology used to transform the landscape of cancer diagnosis in gynecology. By collecting the distinctive vibrational frequencies of chemical bonds inside tissue samples, Fourier-transform infrared (FTIR) spectroscopy provides a 'molecular fingerprint' that outperforms existing diagnostic approaches. We highlight significant advances in this field, particularly the identification of discrete biomarker bands in the mid- and near-IR spectra. Proteins, lipids, carbohydrates, and nucleic acids exhibited different absorption patterns. These spectral signatures not only serve to distinguish between malignant and benign diseases, but also provide additional information regarding the cellular changes associated with cancer. To underscore the practical consequences of these findings, we examined studies in which IR spectroscopy demonstrated exceptional diagnostic accuracy. This review supports the use of IR spectroscopy in normal clinical practice, emphasizing its capacity to detect and comprehend the intricate molecular underpinnings of gynecological cancers.

摘要

妇科癌症的早期检测对于提高患者生存率至关重要,但由于早期症状模糊和当前方法的诊断限制,这一任务极具挑战性。本综述深入探讨了红外(IR)光谱学的变革潜力,这是一种非侵入性技术,可改变妇科癌症诊断领域的格局。傅里叶变换红外(FTIR)光谱通过收集组织样本中化学键的独特振动频率,提供了一种超越现有诊断方法的“分子指纹”。我们强调了该领域的重大进展,特别是在中红外和近红外光谱中识别离散生物标志物带。蛋白质、脂质、碳水化合物和核酸表现出不同的吸收模式。这些光谱特征不仅可用于区分恶性和良性疾病,还提供了与癌症相关的细胞变化的附加信息。为了强调这些发现的实际意义,我们研究了 IR 光谱在其中显示出卓越诊断准确性的研究。本综述支持将 IR 光谱学用于常规临床实践,强调其检测和理解妇科癌症复杂分子基础的能力。